Suppr超能文献

N-[ω-(6-甲氧基萘-1-基)烷基]衍生物哌啶环上的甲基取代作为σ(1)受体选择性结合和活性的探针。

Methyl substitution on the piperidine ring of N-[omega-(6-methoxynaphthalen-1-yl)alkyl] derivatives as a probe for selective binding and activity at the sigma(1) receptor.

作者信息

Berardi Francesco, Ferorelli Savina, Abate Carmen, Pedone Maria P, Colabufo Nicola A, Contino Marialessandra, Perrone Roberto

机构信息

Dipartimento Farmacochimico, Università di Bari, via Orabona 4, I-70125 Bari, Italy.

出版信息

J Med Chem. 2005 Dec 29;48(26):8237-44. doi: 10.1021/jm050654o.

Abstract

The N-(6-methoxy-1,2,3,4-tetrahydronaphthalen-1-yl)propyl and N-(6-methoxynaphthalen-1-yl)propyl derivatives as well as their upper homologous butyl derivatives of various methylpiperidines were prepared. The piperidine moiety bearing monomethyl or geminal dimethyl groups was employed as a probe to explore sigma-subtype affinities and selectivities by radioligand binding assays at sigma(1) and sigma(2) receptors and the Delta(8)-Delta(7) sterol isomerase (SI) site. 4-Methyl derivative 31 was the most potent sigma(1) ligand (K(i)=0.030 nM) with a good selectivity profile (597-fold and 268-fold relative to sigma(2) receptor and SI site, respectively), whereas 3,3-dimethyl derivative 26 (K(i)=0.35 nM) was the most selective (680-fold) relative to the sigma(2) receptor. Both compounds can be proposed as tools for PET experiments. Furthermore, the naphthalene compounds 26, 28, 31, and 33 demonstrated antiproliferative activity in rat C6 glioma cells (EC(50) = 15.0 microM for 33), revealing a putative sigma(1) antagonist activity and opening a useful perspective in tumor research and therapy.

摘要

制备了各种甲基哌啶的N-(6-甲氧基-1,2,3,4-四氢萘-1-基)丙基和N-(6-甲氧基萘-1-基)丙基衍生物及其高级同系物丁基衍生物。带有单甲基或偕二甲基的哌啶部分被用作探针,通过在σ(1)和σ(2)受体以及δ(8)-δ(7)甾醇异构酶(SI)位点进行放射性配体结合试验来探索σ亚型亲和力和选择性。4-甲基衍生物31是最有效的σ(1)配体(Ki=0.030 nM),具有良好的选择性(相对于σ(2)受体和SI位点分别为597倍和268倍),而3,3-二甲基衍生物26(Ki=0.35 nM)相对于σ(2)受体最具选择性(680倍)。这两种化合物都可被用作正电子发射断层扫描(PET)实验的工具。此外,萘化合物26、28、31和33在大鼠C6胶质瘤细胞中表现出抗增殖活性(33的EC50=15.0 microM),揭示了一种假定的σ(1)拮抗剂活性,并为肿瘤研究和治疗开辟了一个有用的前景。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验